Description Job Title: Data Analyst Location: Leicestershire Salary: Competitive plus bonus & benefits About the Role We are seeking a highly skilled and motivated Data Analyst to join the Finance Operations division at Next plc. As part of a dynamic team supporting Accounts Payable, Stock, and Banking functions, you will play a key role in delivering high-quality reporting solutions using modern tools and technologies. If you thrive in a fast-paced environment, enjoy problem-solving, and are driven by a desire to improve processes, this is the perfect opportunity for you. Key Responsibilities: Design & Develop: Build and maintain robust data pipelines and data models to streamline reporting processes. Ensure Data Accuracy: Ensure the accuracy, consistency, and completeness of data used for financial reporting. Automate Processes: Automate reporting workflows, integrate failure checks, and implement monitoring solutions for improved efficiency. Problem-Solving: Take ownership of resolving ongoing issues, ensuring they are addressed promptly and effectively. Stakeholder Management: Collaborate with internal teams and provide clear, insightful MI that supports decision-making across the business. Continuous Improvement: Recommend and drive forward process improvements and new techniques to enhance reporting and data analysis. What We’re Looking For: Advanced Technical Skills: Proficient in SQL (T-SQL / S-SQL), and experienced with SSMS or Data Bricks. Advanced Excel: Strong skills in Excel, including Power Pivot and Power Query, with the ability to work with complex datasets. Analytical Mindset: Ability to provide clear and concise insights, interpreting business data to drive decisions. Experience: 2-5 years of experience in a large organisation, ideally within a retail environment. Communication Skills: Ability to communicate effectively with both technical and non-technical stakeholders. Team Player: A collaborative mindset, with the ability to work well in a team-oriented environment. Desirable Experience: Experience with Power BI for data visualisation, including knowledge of DAX, M language, or Power Query. Azure Data Lakes knowledge and its application in data analytics. Familiarity with SSRS reporting tools. A desire to learn or experience with statistical languages such as Python or R. LI-DC1